• Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or a related field.
  • Must have minimum 4 years of relevant experience
  • Proficient in Python with hands-on experience building ETL pipelines for data extraction, transformation, and validation.
  • Strong SQL skills for working with structured data.
  • Familiar with Grafana or Kibana for data visualization and monitoring/dashboards.
  • Experience with databases such as MongoDB, Elasticsearch, and MySQL.
  • Comfortable working in Linux environments using common Unix tools.
  • Hands-on experience with Git, Docker and virtual machines.